Jakub Lyskawa

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Activation Patterns

Images With Ground Truth

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jakub Lyskawa, Pawel Wawrzynski
ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski
Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) (2024)
Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak
Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. ECAI (2023)
Jakub Lyskawa, Pawel Wawrzynski
Actor-Critic with Variable Time Discretization via Sustained Actions. ICONIP (1) (2023)
Jakub Lyskawa, Pawel Wawrzynski
Actor-Critic with variable time discretization via sustained actions. CoRR (2023)
Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak
Detecting Out-of-distribution Objects Using Neuron Activation Patterns. CoRR (2023)
Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR (2022)
Krystian Chachula, Adam Popowicz, Jakub Lyskawa, Bartlomiej Olber, Piotr Fratczak, Krystian Radlak
Combating noisy labels in object detection datasets. CoRR (2022)
Pawel Wawrzynski, Jakub Lyskawa
ACERAC: Efficient reinforcement learning in fine time discretization. CoRR (2021)
Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski
A Framework for Reinforcement Learning with Autocorrelated Actions. ICONIP (2) (2020)
Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski
A framework for reinforcement learning with autocorrelated actions. CoRR (2020)